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Record W4392954874 · doi:10.2514/1.a35873

Addressing the Orbital Debris Threat Directionality for Enhanced Protection of Low-Earth-Orbit Robotic Spacecraft

2024· article· en· W4392954874 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Spacecraft and Rockets · 2024
Typearticle
Languageen
FieldEngineering
TopicSpace Satellite Systems and Control
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSpacecraftAerospace engineeringSpace debrisLow earth orbitAstrobiologyGeocentric orbitDebrisOrbit (dynamics)AeronauticsOrbital maneuverMedium Earth orbitDirectionalityComputer scienceEnvironmental scienceEngineeringPhysicsSatelliteMeteorology

Abstract

fetched live from OpenAlex

This study conducts a detailed investigation into addressing the directionality of micrometeoroid and orbital debris (MMOD) threats, emphasizing the strategic placement of protective resources on a spacecraft. The research considers the conversion of the structural sandwich panel and the multilayer thermal blanket into multifunctional elements that provide MMOD protection without causing substantial weight gain or affecting operational parameters. The effectiveness of the reconfigured components, such as the foam core sandwich panel and multilayer insulation blanket toughened by Nextel fabrics, is evaluated using developed and validated numerical models and experimental methods. Their performance is demonstrated by meeting the protection needs of the Canadian robotic Radarsat Constellation Mission spacecraft.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score0.478

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.032
GPT teacher head0.261
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it